Summary
The Quantu Project uses artificial intelligence and advanced computational methods to analyze daily behavioral data alongside retina imaging techniques. Our goal is to identify physiological changes and explore ways to slow decline or promote improvements on an individual basis.
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Volunteers participating in the Quantu Project wear fitness devices that provide researchers with vital data on exercise, sleep, and other biological measurements. By correlating this information with nervous system cell function and cognitive performance, we aim to uncover patterns that can lead to a deeper understanding of neurodegeneration and its progression.
Combining Data Analysis and Medical Research
Using sophisticated data analysis techniques along with cutting-edge biological research, Quantu Project is an ambitious undertaking launched at the University of Texas at San Antonio, in partnership with local medical centers and institutes across the nation, that focuses on mapping behavioral data to cellular function.
Current Research Projects
Scalable Retina Bioimaging Analysis
What if your eye could tell us more about your health? This project builds scalable computational pipelines to analyze natural and artificially generated fundus retinal images, uncovering biomarkers linked to sleep, exercise, and disease risk—enabling earlier detection and population-scale health insights.
Modeling Fitness to study Brain Health
We turn raw wearable time series into interpretable brain-health insights. We investigate how longitudinal fitness signals measured by consumer wearables relate to early brain-health markers. Using temporal feature engineering and interpretable AI, we model week-over-week changes on activity patterns and
Transforming Sleep Monitoring and Analysis
By studying the way human brain cells form networks in the lab, we capture not only the differences between healthy and diseased neural network formation, we also characterize how brain cells process information. Unraveling how brain cells actually learn and pass information as they develop is providing the basis for new machine learning algorithms and artificial intelligence models.
